Biomedical signals: processing and mathematical analysis

›8:45 (15min)

Welcome address

› B407

›9:00 (30min)

Stereo Vision Based Surface Registration for Abdomen Minimally Invasive Surgery
Concong Wang, Machine vision lab, Tianjin University of Technology, China

› B407

›9:30 (45min)

The Next Generation of AI in Medicine
Shadi Albarquouni, Helmholtz Center Munich, Germany

› B407

›10:15 (30min)

Residual network based distortion classification and ranking for laparoscopic image quality
Zohaib Amjad Khan, L2S-CNRS, CentraleSupelec, Université Paris Saclay, France

› B407

›10:45 (15min)

Coffee break

› B407

›11:00 (45min)

New horizons in deep learning-assisted multimodality medical image analysis
Habib Zaidi, PET Instrumentation & Neuroimaging Laboratory at Geneva University Hospital

› B407

›11:45 (45min)

Numerical observers for the objective quality assessment of medical images.
Lu ZHANG, INSA, Rennes, France

› B407

›12:30 (1h30)

Lunch

› F001

›14:00 (45min)

Computer aided diagnoses for wireless capsule endoscopy
Marius Pedersen & Anuja Vats ; ColourLab, NTNU, Norway

› B407

›14:45 (45min)

Learning the COVID-19 Proteomic mechanisms from a graph convolutional network of topological models
Ian Morilla; LAGA-USPN , France

› B407

›15:30 (15min)

Coffee break

› B405

›15:45 (30min)

Automatic detection and spatial modelling of Ulcerative Colitis lesions from colonoscopy videos
Safaa Al-Ali ; LAGA, USPN, France

› B407

›16:15 (30min)

Towards a comprehensive database to study the impact of image quality on abnormality detection and classification in Wireless Capsule Endoscopy
Sy Tan Nguyen; LAGA & L2TI, USPN, France

› B407